Smart Finance Investment Management and Community Powered by Generative AI
The smart Finance Investment Management and Community powered by using Generative AI is a revolutionary platform that leverages AI-pushed insights to help clients make knowledgeable economic selections. At the center of our device is FinLit, a generative AI model making use of prolonged quicktime period memory (LSTM) networks to offer customized funding tips based on individual demographics, together with gender, age, financial expertise, income, and investment period. The platform is educated and examined with the aid of the usage of an IBM economic dataset to make certain accuracy and reliability. Moreover, we combine a cost Tracker that visually represents customers’ spending patterns through a pie chart categorizing expenses (e.g., lease $30 \%$, financial savings $20 \%$). FinLit, similarly, analyzes these styles to imply regions in which customers can optimize their spending. To foster a collaborative financial environment, we introduce a network discussion board wherein clients can present insights, interact in discussions, and interact via likes and replies. Moreover, our financial sources phase offers direct links to numerous investment schemes, which include Public Provident Fund (PPF), steady Deposits (FD), countrywide savings certificate (NSC), and United States of America-huge Pension device (NPS), among others. Finally, to beautify financial literacy, we’ve got an amusing Quiz designed to educate and interact with users, helping them in improving their understanding of economic thoughts interactively. productivity and task delight.
Authors
- Ramya Kuppusamy
- A. Senthilselvi
- Aruhn Venkat (ORCID: https://orcid.org/0000-0003-3970-8068)
- Lakshmi Kumar (ORCID: https://orcid.org/0000-0002-6518-7502)
- V Charan Sangeet
- Nagarapu Madhuri
Institutions
- SRM Dental College (IN)
- Aditya Birla (India) (IN)
Publication Details
- Published
- 2025-08-07
- DOI
- https://doi.org/10.1109/iccpct65132.2025.11176580
- Citations
- 1
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 2.28